{"id":"W3203951545","doi":"10.2196/33192","title":"A Patient-Screening Tool for Clinical Research Based on Electronic Health Records Using OpenEHR: Development Study","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science and Technology Major Project","keywords":"Computer science; SQL; Information retrieval; Health records; Health informatics; Data mining; Data science; Medicine; Database; Health care","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009225443,0.0007703666,0.0006334568,0.001852707,0.0003558843,0.0008482335,0.001070598,0.0007839765,0.003349992],"category_scores_gemma":[0.01515249,0.000363842,0.0007994598,0.001115837,0.0004627352,0.001775869,0.001413514,0.0005120304,0.0005931067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005966796,"about_ca_system_score_gemma":0.002198123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00122613,"about_ca_topic_score_gemma":0.001148832,"domain_scores_codex":[0.9957235,0.002649636,0.0004784146,0.0003337637,0.0006679706,0.0001468232],"domain_scores_gemma":[0.9833472,0.01353543,0.0006970788,0.0005720007,0.001421946,0.0004262063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003729427,0.006752184,0.0640501,0.006277946,0.0003410434,0.005174026,0.008691409,0.01044562,0.05541239,0.006510809,0.01318355,0.8194314],"study_design_scores_gemma":[0.007958671,0.02603459,0.24801,0.001819076,0.002698091,0.01497381,0.01084128,0.3682083,0.1708236,0.008308075,0.1394251,0.0008993041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8259439,0.0009280668,0.1503946,0.0007244665,0.0000609538,0.008250766,0.004869684,0.005345949,0.003481713],"genre_scores_gemma":[0.5838189,0.0006111432,0.4004439,0.000373913,0.00003653462,0.00416735,0.008308725,0.0002737414,0.001965739],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.009225443,"threshold_uncertainty_score":0.04878938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.362564778324046,"score_gpt":0.6035391281251457,"score_spread":0.2409743498010997,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}